Non-von Neumann computing using neuromorphic systems based on analogue synaptic
and neuronal elements has emerged as a potential solution to tackle the growing need for …

The enormous energy consumption of modern machine learning technologies, such as
deep learning and generative artificial intelligence, is one of the most critical concerns of the …

Reservoir computing is a brain-inspired machine learning framework for processing
temporal data by map** inputs into high-dimensional spaces. Physical reservoir …

Physical reservoir computing (PRC) offers an effective computing paradigm for
spatiotemporal information processing with low training costs. Achieving controllable …

Biomimetic neuromorphic sensing systems, inspired by the structure and function of
biological neural networks, represent a major advancement in the field of sensing …